Linear ExtrapolationBasic extrapolator for forecast a time-series, all forecasts are mades length periods ahead.
This is not a estimation of the exact price
This should only be used for forecasting direction, dont expect the price to be at the same value of its forecast.
Bias, Mean absolute error, Mean percentage error...etc look useless here, its better to use correlation as a accuracy measurement.
Correlation(Forecast ,close,period)
Rescaling for a better forecast ?
Transforming a non-stationary signal to a stationary signal can increase the forecasting accuracy, this can be done by detrending. Here is a list of somes detrending methods:
Auto-Bias : price - price
Mean-Bias : price - price moving average
Log transform : log(price/price moving average)
Correlation : correlation(price,n,period)
Forecast
[RS]Shifted Pivots V1update: added weekly and monthly pivots, the offset is a average approximation so there may be inconsistency on the date forecasted to be end of week/month.
(using diferent sessions or limited time intervals is not possible).
Previous H/Ls and Forecast H/LPlots the previous periods High and Lows (black crosses) and forecasts the next day's High and Lows (gray crosses)
